Tech guy and investor. Founder at Rebel Fund and previously Pioneer Fund. Chairman of Infosurv and CrowdMed (YC W13). Former Bain consultant. Data nerd.
As my long-time readers of my blog posts know, Rebel Fund maintains the largest and most comprehensive database of Y Combinator startups and founders that exists outside of YC itself. We use the millions of data points we’ve collected primarily to train our Rebel Theorem machine learning algorithm to predict which YC startups are most likely to drive investment returns for our fund, but they also allow us to understand and share unique insights on YC startups overall with the wider world.
Our database includes latest valuation estimates¹ for every YC startup in history, which we analyze to identify trends and patterns related to YC startup performance. In this post, I’ll share some surprising statistics on the steep power law that drives YC startup returns for venture funds like us, and argue for why a large portfolio strategy is optimal when it comes to investing in YC startups. This will be a very data-driven post so buckle up!
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